1:1 personal tutoring
Learn directly from industry experts in 1:1 sessions. Highly personalized paths starting from tech roots up to advanced AI Agentic workflows and MCP architectures.
Available mentorship courses
Select the course that matches your skill level and professional objectives.
Course 0: Full Stack Web with .NET 10 & Angular
β±οΈ Duration: 10 - 12 sessions (20 - 24 hours)
Target audience:
Developers wanting to master the enterprise .NET + Angular stack from basic setup to high-performance advanced features on any OS (Windows/macOS).
Detailed modules:
β¦ Module 1: Enterprise backend with .NET 10
Minimal APIs, Entity Framework Core, SQL Server/Postgres, secure JWT authentication & Role-based authorization. Leveraging Copilot to generate boilerplate 3x faster.
β¦ Module 2: High-performance frontend with Angular
Standalone components, Reactive Forms, HttpClient API integration, Route Guards, state management, and modern Tailwind CSS setup. Custom prompt crafting for UI components.
β¦ Module 3: Cross-platform deployment & Docker
Multi-stage Dockerfiles for Angular & .NET, docker-compose configuration, volume persistence, internal network bridging, and deploy-readiness for VPS.
π Graduation project:
A complete Web Application system (Dashboard/E-commerce) containerized and ready to deploy on any VPS.
Course 1: System Architecture (SA) foundations
β±οΈ Duration: 4 sessions (8 - 10 hours)
Target audience:
Aspiring Tech Leads and Senior Developers looking to master Microservices design, Multi-Tenant architectures, and service discovery load balancing with Consul.
Detailed modules:
β¦ Module 1: Microservices & Multi-Tenant foundations
Transitioning from Monolith to Microservices, service boundary mapping, and designing robust Multi-Tenant databases (isolated database-per-tenant, schema-per-tenant, and shared databases).
β¦ Module 2: Service discovery & load balancing with Consul
Installing and configuring HashiCorp Consul for automatic Service Discovery, dynamic load balancing, health checks, and secure microservice network communications.
β¦ Module 3: SaaS enterprise resilience
Implementing circuit breakers, API Gateway routing, dynamic reverse proxies, token bucket rate limiting, and robust failover architectures in production.
π Graduation project:
A complete multi-tenant microservices architecture model using HashiCorp Consul for service discovery and dynamic routing.
Course 2: DevOps foundations
β±οΈ Duration: 4 sessions (8 hours)
Target audience:
Developers wanting to learn modern infrastructure, containerization, web server configurations, and automated deployments.
Detailed modules:
β¦ Module 1: Containerization with Docker
Writing efficient Dockerfiles, optimizing image sizes, multi-stage builds, docker-compose orchestration, volume mounts, and network bridges.
β¦ Module 2: Web server configuration & SSL
Setting up Nginx as a reverse proxy, configuring gzip compression, routing static vs dynamic assets, and automated Let's Encrypt SSL certificate generation.
β¦ Module 3: Automated CI/CD pipelines
Creating GitHub Actions workflows, running automated unit tests, building Docker images, pushing to Docker Hub, and triggering secure SSH auto-deployments.
π Graduation project:
A fully automated CI/CD pipeline that automatically builds, tests, and deploys a web application to a VPS upon git push.
Course 3: AI for IT professionals
β±οΈ Duration: 4 sessions (8 - 10 hours)
Target audience:
Experienced coders wishing to integrate AI deep into their workspace, build custom MCP servers, and host local models offline.
Detailed modules:
β¦ Module 1: Terminal Agents & AI CLI
Mastering Claude Code, Aider, and GitHub Copilot Workspace directly inside the shell for automated code generation, refactoring, and test fixes.
β¦ Module 2: Model Context Protocol (MCP) setup
Deep integration with local systems. Writing custom MCP Servers in Node.js/Python to securely bridge LLMs with internal databases and filesystems.
β¦ Module 3: Self-hosted local AI
Setting up Ollama to run DeepSeek-R1, Llama-3, or Qwen models locally for offline code review, security assessments, and prompt fine-tuning.
π Graduation project:
A custom Model Context Protocol (MCP) server allowing an AI agent to securely query and inspect a local enterprise SQL database.
Course 4: Advanced Vibe coding & agentic workflows
β±οΈ Duration: 4 sessions (8 hours)
Target audience:
Tech leads and architects wanting to master Context & Harness Engineering, write custom Agent SKILLs, and build self-healing automation loops.
Detailed modules:
β¦ Module 1: Context engineering & planning mindset
Standardizing project plans and step-by-step code execution. Sifting, sanitizing, and compressing large codebases to fit inside the AI's Context Window without information dilution.
β¦ Module 2: Custom agent SKILLs & troubleshooting mindset
Developing a deep mindset for AI collaboration and debugging. Writing custom AI agent SKILL files (.json / .md specifications) to automate multi-file refactoring tasks and run custom tool commands.
β¦ Module 3: Harness engineering & self-healing loops
Building a fully automated closed-loop pipeline: Gather codebase errors => Act (AI parses context and implements code fixes) => Verify (run automated test harness). Triggering self-healing agent loops.
π Graduation project:
An automated multi-agent code refactoring harness that reads codebase logs, writes bug fixes using custom SKILL specifications, tests them, and commits to Git.
Course 5: Vibe coding & rapid prototyping
β±οΈ Duration: 3 sessions (6 hours)
Target audience:
Non-tech individuals, PMs, and beginners wanting to configure AI IDE workspaces, learn Prompt Engineering, and deploy real SaaS MVPs with custom domains.
Detailed modules:
β¦ Module 1: Environment & AI IDE setup
Installing and configuring AI CLI tools, optimizing modern IDE environments (VS Code, Cursor, Windsurf) and preparing workspaces for natural language code collaboration.
β¦ Module 2: Foundational prompt engineering
Mastering the basic Level 1 Prompt Engineering: setting clear Roles, providing rich context, providing detailed step instructions, and enforcing strict format restraints for reliable AI replies.
β¦ Module 3: Custom domains & production deploy
Guide to purchasing custom web domains, configuring Git repositories, setting up environment variables on Vercel/Netlify/Supabase, pushing code, and mapping live domains.
π Graduation project:
A fully functional React/TypeScript SaaS MVP built entirely using Vibe Coding methods, mapped to a custom domain, and deployed live to production.
Course 6: AI productivity in the workplace
β±οΈ Duration: 3 sessions (6 hours)
Target audience:
Office employees, HR, Marketing, Sales, and managers seeking to leverage standard AI tools to automate office workflows and document processing.
Detailed modules:
β¦ Module 1: Advanced prompting & document analysis
Designing customized GPTs, analyzing long PDF financial reports, generating meeting summaries, and automating professional email templates.
β¦ Module 2: Multi-channel customer chatbots
Building no-code Zalo, Slack, or Telegram customer support bots connected directly to OpenAI/Claude APIs for automated customer queries.
β¦ Module 3: Office automation & app integrations
Connecting ChatGPT/Claude with Gmail, Google Docs, and Google Sheets using automated no-code workflows to parse and report daily tasks.
π Graduation project:
A customized multi-channel AI customer assistant bot linked with Google Sheets for tracking and classifying client inquiries.
Course 7: Python for data science & automation
β±οΈ Duration: 5 sessions (10 hours)
Target audience:
Analysts, PMs, BAs, and operations managers wanting to learn Python for big data analysis, automated reporting, and web scraping.
Detailed modules:
β¦ Module 1: Python basics & Pandas DataFrames
Core syntax, variables, loops, writing custom functions, and manipulating tabular CSV/Excel datasets using Pandas & NumPy.
β¦ Module 2: Data visualization & interactive dashboards
Designing interactive web apps with Streamlit, rendering interactive plots with Plotly, and automating monthly Excel reports.
β¦ Module 3: Web scraping & automated tasks
Extracting data from public HTML pages, making HTTP API requests, scheduling regular execution scripts, and piping outputs.
π Graduation project:
An interactive Streamlit sales dashboard that automatically scrapes raw data, processes operational KPIs, and generates Excel reports.
Course 8: AI for Business Analysts (AI4BA v2)
β±οΈ Duration: 6 live sessions (15.5 hours) + 4 hours self-study
Target audience:
Business Analysts (IT BAs), Product Owners (POs), and Product Managers (PMs) looking to build custom agentic systems to 2x speed in wireframing, document drafting (SRS/PRD), diagrams, and testcases.
Detailed modules:
β¦ Module 1: Mindset & AI foundation
Reset BA thinking in the AI era (from Executor to Orchestrator). Distinguish tasks for AI vs humans. Master Large Language Models (GPT, Claude, Gemini, DeepSeek), token limits, context, and RAG.
β¦ Module 2: AI requirements elicitation & automated diagrams
Turn meeting notes and audio transcripts into solid requirement scopes. Auto-generate Use Cases, Flowcharts, Sequence, and ERD diagrams using Mermaid or PlantUML.
β¦ Module 3: AI document generation & change management (CR)
Build dedicated skills to draft URD, BRD, PRD, and SRS documents. Establish multi-agent peer review systems to automatically keep all documents synced during CR updates.
β¦ Module 4: Wireframes, UI & automated testcases
Convert text requirements into working UI prototypes (Lovable, Stitch, Pencil.dev, Figma MCP). Auto-generate checklists, test suites, and Playwright E2E automation scripts.
π Graduation project:
A personalized, end-to-end AI-powered BA System that automates brainstorming, design drafting, UI rendering, documentation, and task synchronization.
Tutoring path combos
Bundle courses together to optimize your learning investment and fast-track your career.
Combo 1: Comprehensive Software Engineer path
Go from developer to full autonomy, with the ability to design (System Architecture), code (Full Stack), and deploy (DevOps) a complete production system to VPS/Cloud.
Combo 2: Practical AI & automation engineer
A high-performance path for developers who want to master CLI AI agents, Advisor Strategy, Model Context Protocol (MCP) servers, and build advanced agentic systems.
Combo 3: Operations optimization path
Directly solve operational data analysis problems, build automated reports with Python Science, and apply AI tools (Zalo Chatbot, doc summaries) to streamline non-tech workflows.
